Data Mining Analyst (Atlanta) — Visa & Travel Covered

Ecojob

Atlanta (GA)

On-site

USD 18,000 - 22,000

Full time

14 days+

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Benefits offered by this job

Free visa
Ticket for all nationalities

Job summary

Ecojob is seeking a Data Mining Analyst in Atlanta to extract and analyze large data sets, identify patterns, and generate actionable insights. You will develop reports and visualizations to present findings and collaborate with multiple departments to drive business decisions.

The role requires strong analytic skills, attention to detail, and the ability to work with complex data. You will work with SQL and Python, and communicate results to both technical and non-technical stakeholders.

Qualifications

  • Degree in Mathematics, Statistics, or Computer Science.
  • Previous experience in data mining or analysis is preferred but not required.
  • Proficiency in SQL or Python.
  • Strong understanding of databases and data structures.
  • Experience with statistical analysis and visualization tools.

Responsibilities

  • Extract and analyze large sets of data to identify patterns, trends, and insights.
  • Use various tools and technologies to gather and manipulate data.
  • Develop reports and visualizations to present findings.
  • Collaborate with various departments to gather requirements and provide insights that drive business decisions.
  • Communicate findings to both technical and non-technical stakeholders.
  • Manage time efficiently and prioritize tasks effectively.

Skills

Data analysis
Analytical thinking
Attention to detail

Education

Math/Stats/CS degree

Tools

SQL
Python

Job description

Ecojob is seeking a Data Mining Analyst in Atlanta to extract and analyze large data sets, identify patterns, and generate actionable insights. You will develop reports and visualizations to present findings and collaborate with multiple departments to drive business decisions.

The role requires strong analytic skills, attention to detail, and the ability to work with complex data. You will work with SQL and Python, and communicate results to both technical and non-technical stakeholders.

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